Introduction

The fundamental task in RNA-Seq-based transcriptome analysis is alignment of millions of short reads to the reference genome or transcriptome. Choosing the right tool for the dataset in hand from many existent RNA-Seq alignment packages remains a critical challenge for downstream analysis. To facilitate this choice, we designed a novel tool for comparing alignment results of user data based on the relative reliability of uniquely aligned reads (CADBURE). CADBURE can easily evaluate different aligners, or different parameter sets using the same aligner, and selects the best alignment result for any RNA-Seq dataset. Strengths of CADBURE include the ability to compare alignment results without the need for synthetic data such as simulated genomes, alignment regeneration and randomly subsampled datasets. The benefit of a CADBURE selected alignment result was supported by differentially expressed gene (DEG) analysis. We demonstrated that the use of CADBURE to select the best alignment from a number of different alignment results could change the number of DEGs by as much as 10%. In particular, the CADBURE selected alignment result favors fewer false positives in the DEG analysis. We also verified differential expression of eighteen genes with RT-qPCR validation experiments. CADBURE is an open source tool (http://cadbure.sourceforge.net/).

Publications

  1. CADBURE: A generic tool to evaluate the performance of spliced aligners on RNA-Seq data.
    Cite this
    Kumar PK, Hoang TV, Robinson ML, Tsonis PA, Liang C, 2015-08-01 - Scientific reports

Credits

  1. Praveen Kumar Raj Kumar
    Developer

    Department of Biology, Miami University, United States of America

  2. Thanh V Hoang
    Developer

    Department of Biology, Miami University, United States of America

  3. Michael L Robinson
    Developer

    Department of Biology, Miami University, United States of America

  4. Panagiotis A Tsonis
    Developer

    Department of Biology and Center for Tissue Regeneration and Engineering, The University of Dayton

  5. Chun Liang
    Investigator

    Department of Computer Sciences and Software Engineering, Miami University, United States of America

Community Ratings

UsabilityEfficiencyReliabilityRated By
0 user
Sign in to rate
Summary
AccessionBT000584
Tool TypeApplication
Category
PlatformsLinux/Unix
TechnologiesPerl
User InterfaceTerminal Command Line
Download Count0
Country/RegionUnited States of America
Submitted ByChun Liang